2012
DOI: 10.1016/j.socscimed.2012.03.019
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Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors

Abstract: This paper examined the importance of household and economic contextual factors as determinants of ethnic disparities in adolescent body mass index (BMI). Individual-level data from the National Longitudinal Survey of Youth 1997 for the years 1997 through 2000 were combined with economic contextual data on food prices, outlet density and median household income. The Oaxaca–Blinder decomposition method was used to examine the factors that could help explain ethnic disparities in BMI. Ethnic differences in house… Show more

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Cited by 67 publications
(54 citation statements)
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“…23,24 This has been ascribed to community contextual factors and socioeconomic status. 25 Children with overweight/obese parents and schoolmates are more likely to underestimate self-size, possibly secondary to desensitization of normal weight. Additionally, children considering weight status from figural stimuli may be less likely to self-identify with larger sizes due to the stigma of being "fat".…”
Section: Discussionmentioning
confidence: 99%
“…23,24 This has been ascribed to community contextual factors and socioeconomic status. 25 Children with overweight/obese parents and schoolmates are more likely to underestimate self-size, possibly secondary to desensitization of normal weight. Additionally, children considering weight status from figural stimuli may be less likely to self-identify with larger sizes due to the stigma of being "fat".…”
Section: Discussionmentioning
confidence: 99%
“…Since the management practices' gap reflects the differences in the group means of the outcome, it lends itself to the decomposition analysis of the group means of determinants. This methodology decomposes the observed group difference in outcome into two main components: the disparity associated with the differences in determinants and the disparity associated with the differential response by groups to those determinants [51]. It is often used to study labor-market outcomes by two groups (sex, race, and so on), and divides the wage differential between two groups into "explained" and "unexplained" part.…”
Section: Decomposition Analysis Modelmentioning
confidence: 99%
“…Although the original applications explored wage differentials across groups the method can be applied to understand why two groups have differences in a wide range of outcome variables, including health variables (Kirby, Taliaferro, and Zuvekas 2006;Powell et al 2012). In our context, we compare individuals in the top and bottom halves of the empirical distribution of our sample of school-leaving state unemployment rates.…”
Section: Mechanismsmentioning
confidence: 99%